Case-Based Reasoning: A Concise Introduction

✍ Scribed by Beatriz López

• Publisher: Springer
• Year: 2013
• Tongue: English
• Leaves: 95
• Series: Synthesis Lectures on Artificial Intelligence and Machine Learning
• Edition: 1
• Category: Library

✦ Synopsis

Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the design of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges.

✦ Table of Contents

Cover
Copyright Page
Title Page
Dedication
Contents
Preface
Acknowledgments
Introduction
CBR Systems Taxonomy
Foundational Issues
Related Fields
Bibliographic Notes
The Case-Base
Vocabulary
Case Modeling
Problem Description
Solution Description
Outcome
Case-Base Organization
Bibliographic Notes
Reasoning and Decision Making
Retrieve
Similarity Assessment
Ranking and Selection
Normalization, Discretization, and Missing Data
Reuse
Solution Copy
Solution Adaptation
Specific Purpose Methods
Revise
Bibliographic Notes
Learning
Similarity Learning
Measure Learning
Feature Relevance Learning
Maintenance
Retain
Review
Restore
Bibliographic Notes
Formal Aspects
Description Logics
Bayesian Model
Fuzzy Set Formalization
Probabilistic Formalization
Case-Based Decisions
Bibliographic Notes
Summary and Beyond
Explanations
Provenance
Distributed Approaches
Bibliographic Notes
Bibliography
Author's Biography